Sharp Generalization Bounds for Foundation Models with Asymmetric Randomized Low-Rank Adapters

Fuente: arXiv

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Bibliographic Details
Main Authors:	Kratsios, Anastasis, Cheng, Tin Sum, Lucchi, Aurelien, Borde, Haitz Sáez de Ocáriz
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Neural and Evolutionary Computing Statistics Theory
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2506.14530